Engineers face many daily operational inefficiencies that inhibit their time-to-solution. Every day we work with engineers to provide solutions to computing resource limitations and management of HPC. Specifically, we excel at utilizing our platform to accelerate HPC engineering simulations. The impact is real: Rescale users have seen accelerated time-to-solution by 23%, allowing engineering teams to be 12% more productive overall.

In this article, we hope to give you exactly what you need to better plan for HPC in 2019.

(Your) 2019 Engineering Objectives: Measurably Improve Engineering Team Productivity

1. Shorten the turnaround time of your engineering services

2. Eliminate engineering hours spent in HPC queues

3. Increase the individual productivity of your engineers

4. Develop best practices for HPC usage by workflow

Some key issues engineers face when developing a product are simulation constraints due to queue times from lack of computing resources, software availability, architecture diversity, and departmental management. The shortage of these vital resources and tools results longer development cycles of the products that generate revenue.   

1. Shorten the turnaround time of your engineering services

By eliminating queue time and enabling engineers with the best HPC hardware and software, you can optimize your research pipeline and push innovations to the market, sooner.

The Proof:

Dinex, an automotive exhaust supplier, saw a reduction in time-to market of 25% by utilizing the Rescale platform. With abundant computing resources available through our public cloud partners, you gain the ability to mitigate queue time by immediately securing the resources as you need them. The abundant computing hardware and software diversity allows engineers to run simulation that were previously unsupported by on-premise systems (either based off intolerable queue time or software and hardware resource demand). The availability of software and computing resources, ability to innovate design of experiments, and the mitigation of queue time allow engineers to be more efficient and deliver products to market faster.

2. Eliminate engineering hours spent in HPC queues

Stop waiting to run your simulations because of limited HPC resources and/or low priority. Empower every engineer with the resources to run simulations immediately using our AWS, Azure, and IBM cloud resources.

The Proof:

Queues for running simulations can halt the research pipeline and waste valuable engineering time. A queue directly results in a delayed time-to-solution that can be critical to the progression of research. The days spent without answers can cost a company millions of dollars in engineer idle time. The ability to secure hardware as needed allows engineers to be agile with their computing resources and break the constraints of a static on-premise HPC system that limit their simulation volume and fidelity. These inefficiencies directly impact the company’s objective to bring innovations to the market and generate revenue; so, the ramifications of research inefficiencies reverberate throughout the entire organization and externally. By utilizing Rescale, you can run a single simulation on 10,000 cores, or run 10,000 simulations on 10 cores each: the availability of resources means there is no reason not to run a simulation immediately.

3. Increase the individual productivity of your engineers

Remove the constraints of static On-Premise HPC systems and engage a dynamic environment with a the latest HPC hardware and simulation software. Explore new DOE and optimize your research pipeline to achieve the fastest time-to-solutions.  

The Proof:

Rescale has over 300 ported and tuned software’s incorporated into our platform; many on a pay as you use model such as ANSYS, Siemens, CONVERGE, and LS-DYNA. Utilization of the endless, diverse computing resources allows engineers to use the best software on the best hardware, always. The coupling of the best software and hardware allows engineers to have the best results available, quickly. In addition, engineers are exposed to new software and computing resources that were previously unavailable. Some Rescale customers have seen as high as 80% reduction in time-to-answers. The freedom of architecture choices allows for the exploration of new processes in your design of experiments which can create quicker research pipelines with higher fidelity. Enabling researchers with the best tools HPC tools produces quicker results and increases productivity.

4. Develop best practices for HPC usage by workflow

Gain real time insight into your engineers activities and utilize the information to optimize your engineering departments operations and finances.

The Proof:

Scale X Enterprise allows you to fully manage your engineers by tracking expenses, allocating resources, and budgeting teams. With control of computing and software resources, budgets, projects, and access, you can fully manage how your engineering teams utilize cloud computing. In addition, access to billing summaries and real time spending dashboards allow you to monitor your computing expenses. Rescale doesn’t only provide a solution to engineering inefficiencies, it gives management the insight to innovate their own research pipeline.  

Rescale is a turn-key platform that enables access to limitless computing resources and over 300 ported and tuned softwares. With ScaleX Enterprise’s management dashboard, engineering departments are capable of fully managing and reporting on their HPC usage. Rescale has had significant impact on many of our customers; but to understand the true impact Rescale can have on your organization, it is best to reach out to us. With our confidential tools and industry leading knowledge, we can define the impact of Rescale on your engineering operations.

If you have any questions or interest in seeing how Rescale can improve your engineering department, please reach out to our specialists today.

This article was written by Thomas Helmonds.


The large and demanding oil and gas field requires massive, computationally-intensive simulations for everything from reservoir modeling to drilling application to natural gas extraction. Additional factors including seismic stability, weather patterns, and acoustic emissions also contribute to the complexity of oil and gas analyses.

Running complex simulations are essential to production, however, these analyses are often difficult to execute. For example, a single drilling application model can contain millions of elements for a finite element analysis (FEA). Since many of these analyses are so compute intensive, high-performance computing (HPC) plays a large role in executing simulations that can run for days or weeks. However, due to constrained on-site HPC resources, simulations are often left in long queues and engineers left without the necessary tools to reach optimal designs.

Rescale Solution
To address these concerns, a leading oilfield service company turned to Rescale. With access to a comprehensive suite of simulation tools and scalable HPC configurations, our customer utilized Rescale’s secure, web-based platform to evaluate acoustic emission properties among different drill bits and drilling scenarios.

All simulations were executed on Rescale using the commercially available software, LS-DYNA. Provided by the Livermore Software Technology Corporation, LS-DYNA is used for computationally complex FEA analyses.  Our customer conducted these analyses for the purpose of R&D drilling applications.

The user ran the simulation on three separate configurations, simultaneously, to compare Rescale’s platform performance across several different compute configurations. Identical simulations were executed on 16, 32, and 64 cores, respectively. Upon job submission by the user, the Rescale-powered solver performed as follow:

  • All processors were dynamically provisioned within five minutes of job submission
  • Results were gathered and delivered for post-processing and analysis
  • All computing instances across the cluster were deleted upon completion

When executed on the customer’s 16 core, in-house cluster, the simulation converged in 77 hours. However, Rescale’s platform achieved convergence for the different configurations as follows:

  • 16 cores: 67 hours
  • 32 cores: 32 hours
  • 64 cores: 17 hours

When Rescale ran the simulation on the same number of cores as the customer, it achieved a 13% reduction in compute time, saving roughly an entire workday.

When the customer ran the simulation using 64 cores on the Rescale platform it modeled 180 microseconds of acoustics per case and finished >75% faster than their in-house cluster. The total cost of running the job on Rescale with 64 cores cost the customer only $864, resulting in a total savings of >$6,000 while still reducing convergence time by 60 hours. Additionally, executing the simulation on Rescale revealed previously undiscovered observations about drilling scenarios and enabled our customer to determine an optimal acoustic emissions environment.

To learn more about Rescale, please visit, To begin using Rescale for engineering and science simulations, please contact

This article was written by Ilea Graedel.